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Science

Climate Change Science

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How OzClim works

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Climate Change in Australia report

The CSIRO and the Bureau of Meteorology have released a report into Climate Change in Australia . The report presents climate change projections in probabilistic terms using Probability Distribution Functions (PDFs) and presents the best estimate for the range of climate change for the Australian region, for climate variables such as temperature, rainfall, evaporation and wind. The PDFs have been generated using the latest available data from 23 climate models used within the IPCC Fourth Assessment Report and global warming estimates based on the results of the IPCC Fourth Assessment Report.

In comparison, OzClim generates climate change scenarios using the pattern of change from a single global climate model. OzClim can combine the climate change scenario with the observed dataset to create a projected future climate (not just a projected future climate change). OzClim will also maintain internal consistency when generating climate scenarios for temperature and rainfall. These two features are particularly useful for generating inputs for impact assessments. (see What climate scenario should I use for my impact model? for further detail). Global warming values used in OzClim are from the IPCC (2001) Third Assessment Report. Global warming values from the IPCC (2007) Fourth Assessment Report are not yet available in a form suitable for use within OzClim.

Emission scenarios

The SRES Marker Scenario A1 storyline and scenario family describes a future world of very rapid economic growth, global population that peaks in mid-century and declines thereafter, and the rapid introduction of new and more efficient technologies. Major underlying themes are convergence among regions, capacity building, and increased cultural and social interactions, with a substantial reduction in regional differences in per capita income. The A1 scenario family develops into three groups that describe alternative directions of technological change in the energy system.

The A1B group is based on the A1 storyline and scenario family but describes a balance across all energy sources.

The A1FI group is based on the A1 storyline and scenario family but describes an alternative direction of technological change in the energy system by emphasizing fossil-fuel intensity.

The A1T group is also based on the A1 storyline and scenario family but emphasizes predominately non-fossil energy resources.

The SRES Marker Scenario A2 storyline and scenario family describes a very heterogeneous world. The underlying theme is self-reliance and preservation of local identities. Fertility patterns across regions converge very slowly, which results in continuously increasing global population. Economic development is primarily regionally oriented and per capita economic growth and technological change is more fragmented and slower than in other storylines.

The SRES Marker Scenario B1 storyline and scenario family describes a convergent world with rapid change in economic structures, "dematerialization" and introduction of clean technologies. The emphasis is on global solutions to environmental and social sustainability, including concerted efforts for rapid technology development, dematerialization of the economy, and improving equity.

The SRES Marker Scenario B2 storyline and scenario family describes a world in which the emphasis is on local solutions to economic, social, and environmental sustainability. It is a world with continuously increasing global population at a rate lower than A2, intermediate levels of economic development, and less rapid and more diverse technological change than in the B1 and A1 storylines. While the scenario is also oriented toward environmental protection and social equity, it focuses on local and regional levels.

The carbon dioxide (CO2) emissions and concentrations associated with each of these scenarios are shown below. Scenarios for methane, nitrous oxide, halocarbons, ozone and sulfate aerosols were also developed by the IPCC.

Figure: CO2 emissions (left panel) and CO2 concentrations (right panel) for six SRES scenarios (A1B, A1T A1FI, A2, B1, B2) and IS92a.

The 450ppm stabilization by 2100 scenario describes an emission reduction scenario that stabilises CO2 concentrations at 450 parts per million (ppm) by the year 2100. This is shown in the yellow curves below.

The 550ppm stabilization by 2150 scenario describes an emission reduction scenario that stabilises CO2 concentrations at 550 parts per million (ppm) by 2150. This is shown in the green curves below.

Figure: CO2 emissions (left panel) and CO2 concentrations (right panel) for SRES emission scenarios A2, A1B, B1 (black lines), emission reduction scenario that stabilises CO2 concentrations at 450ppm by 2100 (yellow) and emission reduction scenario that stabilises CO2 concentrations at 550ppm by 2150 (green). Also shown are stablisation scenarios for 650 ppm by 2200 (blue), 750 ppm by 2250 (cyan) and 1000 ppm by 2300 (red).

See the section on projected global warming to see how OzClim uses the emission scenarios to generate climate scenarios.

For more information about emission scenarios please see the following websites:

Global Climate Models

Global Climate Model (GCM) data were obtained from the Program for Climate Model Diagnosis and Intercomparison (PCMDI). The GCMs listed in OzClim perform well over the Australian continent. The simulated and observed patterns of average (1961-1990) rainfall, temperature and mean sea level pressure had small error magnitudes and high pattern correlations. For further details please see Suppiah et al. The models are:


Model Name
CSIRO MK3.0

Host organisation
Commonwealth Scientific and Industrial Research Organisation (CSIRO)

Country of origin
Australia

Atmospheric and ocean model attributes
Atmosphere: 18 vertical levels, horizontal resolution 1.8° lat/long, approx 200 km between gridpoints
Ocean: 31 vertical levels, horizontal resolution matching the atmospheric model, but 100 km resolution in the tropics to enhance the simulation of the El Nino Southern Oscillation.

General rainfall pattern across Australia
Annual-average decreases across all of Australia, except for increases along the east coast. Widespread decreases in all seasons, but increases in the south and east in summer and over NSW and southern Qld in autumn.

General temperature pattern across Australia
Increases across all of Australia, smaller increases along the southern coast of Australia

Link to further information
http://www-pcmdi.llnl.gov/ipcc/model_documentation/CSIRO-Mk3.0.htm

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Model Name
ECHAM5/MPI-OM

Host organisation
Max Planck Institute for Meteorology

Country of origin
Germany

Atmospheric and ocean model attributes
Atmosphere resolution: horizontal resolution 1.8° lat/long, approx 200 km between gridpoints, 31 vertical levels
Ocean: horizontal resolution 1.5° lat/long, 40 vertical levels

General rainfall pattern across Australia
Annual-average decreases across temperate Australia, with increases over tropical Australia. Widespread decreases in all seasons, but summer increases in tropical Australia, eastern NSW and eastern S.A., and autumn increases in the western two-thirds of Australia.

General temperature pattern across Australia
Increases across all of Australia, smaller increases along the southern coast of Australia.

Link to further information
http://www-pcmdi.llnl.gov/ipcc/model_documentation/ECHAM5_MPI-OM.htm

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Model Name
UKMO-HadGEM1

Host organisation
Hadley Centre for Climate Prediction and Research

Country of origin
United Kingdom

Atmospheric and ocean model attributes
Atmosphere: horizontal resolution 1.25° latitude by 1.875° longitude, with 38 vertical levels extending to over 39 km in height.
Land surface: includes land and river routing components
Ocean: includes sea ice component

General rainfall pattern across Australia
Widespread decreases on an annual and seasonal basis, except for summer increases in the southeast, autumn/winter increases in the north-west and inland parts of W.A.

General temperature pattern across Australia
Increases across Australia, largest inland. Smaller increases in southern Australia during winter.

Link to further information
http://www-pcmdi.llnl.gov/ipcc/model_documentation/HadGEM1.htm

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Model Name
The Community Climate System Model (CCSM3)

Host organisation
National Center for Atmospheric Research (NCAR)

Country of origin
USA

Atmospheric and ocean model attributes
Atmosphere: Horizontal resolution: At the equator, the resolution is approximately 1.4° lat/long.
Ocean: horizontal resolution 0.27° lat x 1.125° long on the equator, 40 vertical levels.

General rainfall pattern across Australia
Annual-average increases in northern and eastern Australia. Widespread increases in spring and summer. In autumn, increases in the north with decreases elsewhere. Widespread decreases in winter.

General temperature pattern across Australia
Increases across Australia, largest inland. Smaller increases in the northern and eastern Australia during summer.

Link to further information
http://www-pcmdi.llnl.gov/ipcc/model_documentation/CCSM3.htm

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Model Name
FGOALS-g1.0

Host organisation
LASG, Institute of Atmospheric Physics at the Chinese Academy of Sciences

Country of origin
China

Atmospheric and ocean model attributes
Atmosphere: horizontal resolution: 2.8° lon x 2.8° lat, 26 vertical levels
Ocean: horizontal resolution 1°x1° lat/long

General rainfall pattern across Australia
Primarily decreases across Australia for all seasons.

General temperature pattern across Australia
Increases across Australia, stronger inland. Weakest warming in winter.

Link to further information
http://www-pcmdi.llnl.gov/ipcc/model_documentation/FGOALS-g1.0.htm

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Model Name
GFDL-CM2.1

Host organisation
Geophysical Fluid Dynamics Laboratory, NOAA

Country of origin
USA

Atmospheric and ocean model attributes
Atmosphere: horizontal resolution: 2.5° longitude x 2.0° latitude, 24 vertical levels
Ocean: horizontal resolution 1° longitude x 1° latitude with enhanced tropical resolution (1/3° lat/long on equator)

General rainfall pattern across Australia
Annual-average decreases across Australia. Widespread decreases in all seasons, except for summer increases in the northern tropics and southeast, and spring increases in north Qld.

General temperature pattern across Australia
Increases across all of Australia, smaller increases along the southern coast.

Link to further information
http://www-pcmdi.llnl.gov/ipcc/model_documentation/GFDL-cm2.htm

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Model Name
MRI-CGCM2.3.2

Host organisation
Meteorological Research Institute, Japan Meteorological Agency

Country of origin
Japan

Atmospheric and ocean model attributes
Atmosphere: horizontal resolution: approx. 2.8°
Ocean: horizontal resolution: 2.5° longitude x 2.0° latitude outside the tropics (poleward of latitudes 12S and 12N) and 2.5° longitude x 0.5° latitude in the tropics (4° S - 4° N)

General rainfall pattern across Australia
Annual-average decreases over most of Australia, but increases in the tropics. Widespread decreases in autumn winter and spring, with widespread increases in summer and spring increases in the north-west.

General temperature pattern across Australia
Increases across Australia, greatest inland.

Link to further information
http://www-pcmdi.llnl.gov/ipcc/model_documentation/MRI-GCGM2.3.2.htm

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Model Name
ECHO-G

Host organisation
Meteorological Institute of the University of Bonn (Germany) and Institute of KMA (Korea)

Country of origin
Germany and Korea

Atmospheric and ocean model attributes
Atmosphere: 3.75 degrees horizontal resolution, 19 vertical levels
Ocean: approx 2.8 degrees horizontal resolution, 20 vertical levels

General rainfall pattern across Australia
Widespread annual-average increases, but decreases along the south coast and Tasmania, especially in spring, summer and autumn. Widespread decreases in winter, but increases in central and northern Australia.

General temperature pattern across Australia
Increases greatest in the northwest and smallest in the east.

Link to further information
http://www-pcmdi.llnl.gov/ipcc/model_documentation/ECHO-G.htm

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OzClim Product Development

OzClim contains patterns of regional change from a selection of different global climate models run by CSIRO and other research centres and archived at the Program for Climate Model Diagnosis and Intercomparison (PCMDI). These model simulations are used as part of the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (2007). The patterns of change can be scaled by different global warming scenarios to obtain scenarios of climate change across Australia for 5-yearly intervals from 2010 to 2100.

OzClim is intended to provide:

  • increased accessibility to climate change scenarios for Australia, through a user-friendly web tool,
  • a web based facility to help explain and generate scenarios for people new to climate change,
  • advanced functionality for technical practitioners
  • data on a 25 km grid over Australia, for 5-year increments in the 21st century, for user-selected greenhouse gas emission scenarios and climate models
  • a facility to download the scenarios as text, images, or CSV files,
  • data in a format suitable for input to impact studies.

The four major potential uses of OzClim are as:

  • a source of Australian climate scenario output
  • a research tool to explore sectoral vulnerability to climate change for a wide range of initial assumptions
  • a visualisation tool
  • an educational tool

Features and data will be added regularly to OzClim.

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Acknowledgments

The development of OzClim as a web application was undertaken by the CSIRO. CSIRO acknowledges the contributions of the following non-CSIRO sources:

Development of OzClim as a web application

The Department of Climate Change provided funding to develop OzClim as a web application.
www.greenhouse.gov.au

Observed baseline climate data

The observed baseline climate was obtained from and is the copyright of the Australian Bureau of Meteorology.
www.bom.gov.au

Global Climate Model Data

The global climate model data used to generate the climate change patterns for OzClim were obtained from the Program for Climate Model Diagnosis and Intercomparison (PCMDI)
www-pcmdi.llnl.gov

CSIRO acknowledges the modelling groups for providing their data for analysis, the Program for Climate Model Diagnosis and Intercomparison (PCMDI) for collecting and archiving the model output, and the JSC/CLIVAR Working Group on Coupled Modelling (WGCM) for organizing the model data analysis activity. The multi-model data archive is supported by the Office of Science, U.S. Department of Energy.

Global warming data

The global warming data were generated by Dr Sarah Raper using MAGICC and downloaded from the IPCC-DDC site. The MAGICC software was created by Hulme, Raper and Wigley.
www.cru.uea.ac.uk/cru/projects/magicc/

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How OzClim works

Projected Global Warming

OzClim uses scenarios for greenhouse gases and sulfate aerosols from the IPCC Special Report on Emission Scenarios (SRES, 2000). Global warming projections derived from these scenarios in 5-yearly intervals were sourced from the IPCC (2001) Third Assessment Report. These differ slightly to the global warming projections in the IPCC (2007) Fourth Assessment Report, but the latest projections are not currently available in 5-yearly intervals, so they have not been included in OzClim.

The SRES authors developed a series of storylines, based on assumptions about demographic change, economic development and technological advances, that were then given to modelling groups to estimate emissions for the major greenhouse gases and aerosols.

MAGICC (Model for the Assessment of Greenhouse-gas Induced Climate Change), a simple one-dimensional atmosphere-ocean model was used by the IPCC to estimate projected global warming and sea-level rise from various emissions scenarios at low, mid-range and high climate sensitivity. OzClim uses these data.

OzClim contains global warming values for six SRES scenarios and two stabilisation scenarios for three levels of climate sensitivity. The global warming values associated with the eight emission scenarios are shown in the graphs below. More information about the aerosol emission scenarios can be obtained from the emission section of the Science page.

The eight emission scenarios used within OzClim are:

  • SRES Marker Scenario A1B
  • SRES Marker Scenario A2
  • SRES Marker Scenario B1
  • SRES Marker Scenario B2
  • SRES Marker Scenario A1FI
  • SRES Marker Scenario A1T
  • 450ppm stabilisation by 2100
  • 550ppm stabilisation by 2150

Figure: Global-average temperature change for low (orange), mid (red) and high (maroon) climate sensitivity for six SRES emission scenarios and two stabilisation (450ppm, 550ppm) scenarios. (Source: SRES 2000)

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Generation of Patterns of Change

OzClim uses a method developed by CSIRO for extracting patterns of change from climate models. It involves linear regression between the global warming of the model and the local value of a climatic variable (e.g. temperature) to get the slope value b from the regression equation y=a+bx for each grid point. A slope pattern is calculated for each month. The slope represents a local change per degree of global warming.

For each gridpoint, the slope is calculated as follows:

Step 1. The global annual temperature for each year is extracted from the GCM output (panel A).

Step 2. The local monthly average temperature time-series for an individual gridpoint extracted from the GCM output (panel B).

Step 3. The regression (black line) is found from the global annual temperature (panel A) and the local monthly average temperature (panel B) datasets. The pattern of change per degree of global warming is the value of the slope line (panel C).

Step 4. The three steps above are repeated until the slope is found for each gridpoint. A pattern of change per degree of global warming can then be produced in map format for each month (Panel D). The figure below shows the temperature change per degree of global warming over Australia in °C.

OzClim stores monthly patterns of change and combines these patterns for seasonal and annual changes. Temperature is stored in terms of degrees C per degree C of global warming. The monthly slope pattern of rainfall is divided by the 1975 to 2004 average of the rainfall total for that month and multiplied by 100 producing a pattern of rainfall change expressed as percent change per degree C of global warming.

Figure: Generating a pattern of change for an individual month and global climate model (GCM). Panel A is the annual global temperature for the GCM. Panel B is the monthly temperature time-series for an individual gridpoint. Panel C is the combination of Panel A and Panel B. Panel D displays the slope for each gridpoint.

More information about how CSIRO generates patterns of regional climate change can be found in the technical report Australian climate change projections for impact assessment and policy application: A review

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Calculating Future Climate Scenarios

Climate scenarios can be generated for rainfall and temperature for every five years between 2010 and 2100 on a seasonal or annual basis.

Input type for future climate scenario Method of creation of input type
Observed baseline climatology Obtained from the Australian Bureau of Meteorology
Regional pattern of change from Global Climate Model (GCM) See Generation of Patterns of Change
Global warming value taken from an emission scenario for a particular year and climate sensitivity Emissions and climate sensitivity are converted to global warming using software called MAGICC

 

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Figure: Climate scenario generation for annual temperature in 2060. The regional pattern from the GCM is multiplied by the global warming and added to the observed baseline climatology. In this example, the GCM is CSIRO Mk3, the emission scenario is SRES A1FI, and the climate sensitivity is high.

This process can be repeated for different combinations of emission scenarios, climate sensitivities, years and regional patterns of change.

These scenarios can then be used as input into impact models. OzClim currently has a snow impact model producing annual maximum snow depth.

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Impact Models

OzClim currently has an impact model that simulates annual maximum snow depth using a five parameter equation derived from the results of a more complex snow model developed and used by CSIRO in 2003. The five parameters use altitude together with changes in winter temperature and precipitation to approximate the maximum depth of snow cover. The results are shown within OzClim as a map over the southeast of mainland Australia.

Further details of the complex snow model can be found at: www.cmar.csiro.au/e-print/open/hennessy_2003a.pdf.

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